The Ministry of Agriculture, Irrigation and Water Development (MoAIWD) in close collaboration with Ministry of Lands, Housing and Urban Development (MoLHUD) and Ministry of Industry, Trade and Tourism (MoITT) is implementing the Agricultural Commercialisation (AGCOM) Project (P158434) with IDA credit financing.
The Project was approved and declared effective on 23rd May 2017 and 1st June 2018 respectively. The Project is implemented through an independent Project Implementation Unit (PIU) whose operations started in July 2018. The PIU is charged with the responsibility to oversee day to day project implementation, monitor progress, and coordinate and account for utilisation of project funds.

AGCOM project has four components and these are:
This supports the integration of small-scale and emerging farmers (defined as farmers cultivating not more than 8 ha) into value chains by improving their capacity to finance and execute productivity-enhancing investments and respond to the requirements of end-markets and buyers (off-takers):
The project will provide consulting and technical services to participating POs for formation of proposed PAs with agribusiness entities, designing of eligible business plans for upgrading production capacities, and/or strengthening linkages with off-takers. There will also be provision of matching grants to participating POs for capital investments with a view to increasing production, yield, quality and sale of agriculture products, improving post-harvest storage and processing capability. Further, a Partial Credit Guarantee Fund (PCG Fund) will be established to facilitate eligible participating POs access to private sector financing for PO sub-projects and this activity also includes capacity development on agriculture lending and implementation of the PCG.
The TA costs for POs are fully financed by the project; inputs and other working capital will need to be financed by the POs and/or by financial institutions supported with a PCG Fund. Matching grants will cover up to 70 percent of the investment costs of capital investments. The rest will be self-financed through cash and/or in-kind contributions and the difference (if any) through financial institutions, which should be involved from the outset to gain deeper knowledge of the POs and appraise PA sub-projects.
This has two sub-components (a) Access to Agricultural Financing --TA will be financed to assess the critical challenges of the current system, examine international experience, and identify suitable risk mitigation mechanisms to strengthen the Malawian warehouse receipt system and concrete engagement models to increase the uptake of farmers as well as Small and Medium Enterprises (SMEs). The TA will also explore strategies for increasing farmers’ and SMEs’ access to warehouses in rural areas including women and youth. (b) Access to Land for Commercial Agriculture---The project will provide support for the policy and regulatory environment for increasing access to land and tenure security for commercially oriented smallholder and commercial farmers as well as other actors in agricultural value chains. The assignment falls under this component.
This component will allow rapid reallocation of project proceeds in the event of a natural or man-made disaster or crisis that has caused or is likely to immediately cause a major adverse economic and/or social impact. To trigger this component, the Government needs to declare an emergency or provide a statement of fact justifying the request for the activation of the use of emergency funding.
This component is financing project management activities, including the hiring of the Project Implementation Team. The PIU will coordinate the implementation of project activities, monitor project progress, ensure sound fiduciary management, social and environmental safeguards compliance, and engage in communication and reporting.

The Government of Malawi (GoM) has enacted ten land-related laws in 2016 consisting of the Land Act, the Physical Planning Act, the Forestry (Amendment) Act, the Malawi Housing Corporation (Amendment) (No. 2) Act, the Land Survey Act, the Registered Land (Amendment) Act, the Public Roads (Amendment) Act, the Customary Land Act, the Land Acquisition (Amendment) Act, and the Local Government (Amendment) Act. The newly enacted laws are in response to effective implementation of the progressive National Land Policy, (2002) and these laws are aiming at promoting good land governance, access to secure land rights and responsible commercially oriented agricultural investments. The Ministry of Lands, Housing and Urban Development (MoLHUD) is the custodian and implementing agency of these newly enacted land laws.

Recognizing the fact that the new laws simply outline the general legislative framework, the MoLHUD is now in search of ways to implement carefully designed pilots that will be rigorously monitored and evaluated under diverse socio-economic conditions. The pilots will help develop operational manuals and regulations, resource requirements and realistic timeline for implementation at the national level. As 85% of the land in Malawi is under customary arrangements, implementing the Customary Land Act (2016) will have the potential to significantly improve tenure security for all citizens, particularly to those residing in rural areas, and it will facilitate access to secure land and land rights for commercially oriented smallholder and commercial farmers. The MoLHUD, under the World Bank supported agricultural commercialization project, is going to pilot the implementation of the Customary Land Act (2016), and aspects of the Registered Land (Amendment) Act (2016), the Land Acquisition (Amendment) Act (2016), the Land Survey Act (2016) and Physical Planning Act (2016) as they apply to customary tenure. The activities include adjudication and demarcation of TLMA boundaries; establishment of customary land committees; adjudication and demarcation of land parcel boundaries; establishment of land tribunals at TLMA and District levels, and National Land Board; recruitment and deployment of Land Clerks; and establishment of District land registries.
The pilot systematic adjudication and issuance of titles to customary estates will be implemented in 6 districts selected from the three regions in Malawi. The intervention units will be group villages with roughly about 2000 households in the selected districts of Karonga, Rumphi Boma, Nkhotakota, Mchinji, Chikwawa, and Nsanje (see annex table 1). The pilot districts were chosen taking into account agricultural potential and incidence of land-related disputes as well as customary marriage and landholding system. One group village will be selected from each district following district selection criteria.
These terms of reference are thus for firm\consortium (“Survey Firm”) to develop and implement all aspects of a baseline survey for the impact evaluation of the pilot systematic adjudication of customary estates, supported by the agricultural commercial project in Malawi. The data will constitute a key input to the baseline and impact analysis of the project interventions implemented by the MoLHUD of the GoM. The overall project will also include funding for a survey that will collect comparable post-intervention data to be linked with these baseline data. The MoLHUD reserves the right to competitively bid the post-intervention survey.

The objective of the impact evaluation is to assess the impact of the pilot systematic adjudication of customary estates (PACE) on key outcome variables including (i) households’ perceived tenure security; (ii) female empowerment through changes in intra-household bargaining; (iii) protection of the assets held by vulnerable groups (women and youth); (iv) land-related investment and greater productivity of land use; (v) access to land for productive purposes and land market participation; (vi) credit access; (vii) livelihood diversification; and (viii) overall welfare. Intermediate variables such as legal knowledge and modalities of programme implementation (e.g. composition of customary land committees, participation in meetings, etc.) will be collected to assess how these affect outcomes. These will be complemented by the collection of a set of institutional variables on the relevant institutions such as customary land committees, chiefs and other local leaders. The collection of these variables will enable us to understand how heterogeneity in institutions and customary landholding arrangements affects the impacts of PACE. The empirical evidence to be generated from the baseline survey would provide a basis for developing immediate monitoring indicators, and description of customary land arrangements under different socio-economic and cultural conditions. The data obtained from the baseline will provide the information needed to conduct such an evaluation and will also serve to build capacity within MoLHUD. To this end, the World Bank’s research team will provide technical support and advise MoLHUD on the quality of deliverables submitted throughout.
Evaluation methods
The fact that the pilots are designed for methodology development together with group villages purposive selection and limited representativeness, establishing a comparison group with similar characteristics as the participants in the program is challenging and requires reasonable assumptions to be made. Assuming that households close to a given group village boundary are fairly equal, on average, in observable and unobservable characteristics, a geographic discontinuity design based on group village boundary will be employed to establish the non-participant comparison group (the “counterfactual” group). Given households are often located in settlement villages, participant and non-participant households of the pilot programme for the purpose of the impact valuation will be randomly selected from census enumeration areas on both sides of the boundary of pilot group villages (see annex figure 1 for an example of the design). The enumeration areas with participant and non-participant households on the boarder of the pilot group villages will be selected in pairs conditional on them having a common border. The before and after pilot scenarios will also be assessed.
The baseline survey will be administered to a total of 3,000 households (500 households each in 6 of the pilot group villages and the enumeration areas with common border to them) equally divided between the participant and non-participant groups before the start of the program in the pilot group villages. For logistic reasons, cluster of households from each of the enumeration areas (the number of households in each enumeration areas depending on the number of enumeration area located on both sides of the boundary of pilot group villages with common border) will be selected to be surveyed. Survey frame to be drawn from the two GVH for participants and non-participation. The set of questionnaires to be administered includes community, household, individual, and parcel level survey instruments. To facilitate unambiguous identification of parcels and crop fields, GPS readings will be taken for each of the parcels and crop fields involved.

Data collection
The listing and baseline surveys will be conducted two and a half months after signing of the contract with a total sample size of 3,000 households.
Data will be collected from 3,000 households drawn from enumeration areas located on both sides of the boundary of the pilot group villages.
The listing and the detailed household survey will be conducted approximately in the period mid-April to end-June 2019 after at least 15 days of both in room and in the field training for the field enumerators. Data will be collected using Computer Assisted Personal Interviewing (CAPI), preferably Survey Solution. The most important deliverables are:
(i) Complete listing of households from the two GVH for participants and non-participants that would satisfy the impact evaluation design condition with their location and contact details (including GPS coordinates and phone numbers);
(ii) Data from the randomly selected 3,000 households collected using the designed survey instruments; and .
(iii) Data from the community survey.

The selected Survey Firm will be expected to successfully implement all aspects of the baseline household survey and deliver high quality data including preliminary report on findings. A listing exercise will be conducted at the enumeration area level in order to randomly select the cluster of respondent households (the number will be determined by the number of enumeration areas that will satisfy the design condition). Computer Assisted Personal Interviewing (CAPI), preferably Survey Solution, will be used to collect data for both the listing, household and community surveys.

A complete household survey will be collected from a random sample of 3,000 households in the sampled enumeration areas (“evaluation sample”) of the 6 pilot group villages and their corresponding pairs from across the border of the selected group villages. Information will be collected through interviews as well as direct observation. The household survey developed (note some sections will be administered to male and female respondents separately) will include:

 Household roster and socio-economic modules, including individual level demographic, education, migration and displacement, and social responsibilities and decision making as well as individual level demographics of non-member wives and children and information on siblings and inheritance dynamics (administered separately for male and female respondents);
 Household economy module, including income, expenditures, household and non-farm enterprise assets and livestock, productive activities, remittances (including support to others);
 Perception and legal knowledge module, including dispute resolution, ownership and expropriation;
 Credit and loan module, including access and amount of credit received; and
 Land module, including a parcel roster (basic characteristics including year and mode of acquisition; ownership rights; and rental market participation), land rights (including perceived tenure security), disputes, inheritance, investments including incidence and magnitude of soil and water conservation measures, planting trees, adoption of new crops, and fallowing), seasonal crop cover, seasonal labour/non-labour inputs and land sales.

Information at the community level will be collected through a single multi-participant interview conducted in each village. The community survey will include:

 A participant roster and socio-economic modules, including household level demographic, individual education, labour/employment and community responsibilities;
 A participant migration module, including prior location of living and displacements;
 A participant bargaining module, including frequency of meetings and movements and access to information;
 A community socio-economic module, including demographics, energy, land, inheritance, customary marriage and landholding arrangements, women rights and community meetings;
 A community module on access to services, such as transport, credit facilities and health; and
 An agricultural module, including crop type, investments and land sales/rentals and expropriation.

A draft survey design for listing and survey programmed in survey solution will be made available to the firm, which is based on impact evaluations of comparable land programs outside Malawi. The firm is expected to propose adjustment/customization to the client..
It is expected that an enumerator will complete at least two households’ questionnaires a day. Supervision during training and start-up of the survey will be provided by the MoLHUD and World Bank research team (or “MoLHUD team”).

Acquisition of permissions, insurances, etc.
The Survey Firm will acquire all the necessary permission for the conduct of the survey. For this, the firm will provide key information needed on the field implementation of the survey. The survey firm is responsible for obtaining health and accident insurance, salary and taxes for all enumerators and supervisors who will be involved in managing administering the survey.
Field procedure plan
The MoLHUD team will provide the list of sampled enumeration areas (EA) to the consulting survey firm and the firm will then use this to prepare (i) a detailed roll-out plan of the listing survey; (ii) a field protocol for enumeration that will include details on the composition of teams and the activities to be performed by each team member in each EA; (iii) the checks to be performed in the field by the supervisor; (iv) the broader supervision schedule (i.e., how field teams will be supervised); and (v) the schedule for quality checks and data processing beyond the field stage.
This plan will be submitted to the MoLHUD team for approval and cases where there are changes in field or other conditions that dictate significant modifications to the agreed plan will be promptly communicated to and discussed with the MoLHUD team.
Pre-test and finalization of instruments
The MoLHUD team will provide the firm with an English version of all the survey instruments (questionnaires). The survey firm will arrange for translation into the local language (if necessary), to the satisfaction of the MoLHUD team. The survey firm will be pre-testing the questionnaires upon signature of the contract, under field conditions and inform the Ministry team of any problems encountered, so as to jointly agree on modifications to the instruments. This will then provide an input for the MoLHUD team to finalize the survey instrument accordingly and then the firm will check the accuracy of the translation.
A report on pre-test implementation and results will be provided to the research team for inputs. The final tools will be approved by the MoLHUD team.
Designing the CAPI application
The firm will develop the screen design and the interviewer-computer interface (for the listing and property owner questionnaires) using the Survey Solutions software developed by the World Bank. The firm will install the appropriate programme and data design to ensure the quality of the data that are going to be collected and maintained. This will be checked with the MoHLUD team.
Preparation of training materials and training plan
The firm will prepare interviewer and supervisor training curriculum and materials with a focus on data quality. These, together with a training plan including a detailed schedule and objectives, will be consulted with the MoLHUD team..
Enumerator training and recruitment
The firm is responsible for the recruitment of all staff, including supervisors, enumerators, and other support staff. The firm will design a screening test – focused on logic and enumeration skills, and use of CAPI – to be administered to potential candidates prior to their selection for the training session. The firm will document results. The number of enumerators to be trained will be large enough to allow for a 15% attrition rate.
At least 15 days of class room and in field training (using CAPI) will be organized by the selected firm. Careful cross-check by management will allow identifying issues and accordingly reformulate questions. Emphasis will be put on data quality throughout the different stages of the training process. The survey firm will provide the Ministry with a detailed documented report on the training process as well as a roster of recruited enumerators with relevant qualifications.

Data collection
A map of the enumeration areas with geographic identifiers (district, traditional authority, group village headman, and village names) will be used to identify the boundaries of the sampled enumeration areas. A complete listing of all households, irrespective of their tenure and land ownership status, will be conducted in all the sampled enumeration areas. The list will then be used to randomly select households in each enumeration areas.
The comprehensive household questionnaire will then be administered to the randomly selected 3,000 households. In case, the knowledgeable person is absent at the time of the first interview, contact details and appointment should be arranged for a follow up visit. Supervisors should be assigned who will be in charge of daily quality control and cross check all the questionnaires once completed. A survey manager should also be assigned to conduct spot-checks of the teams to ensure adherence to data collection protocols and confirm quality of data collection and entry. The firm will install all the necessary approval procedures and corrections must be made before data is synchronized from the CAPI tablets to the server. The community questionnaire will also be administered to key informants following the protocol that will be set by the MoLHUD team.
Reporting to the Ministry
The survey firm will provide the MoLHUD team with weekly reports of activities and survey advancement. In addition, precise schedule and location of activities will be timely disclosed.

Completed data

The firm will then deliver the cleaned and well documented listing, household and community data (including a detailed description of non-response rates, problems encountered in sample households, etc.) in STATA format.

The survey firm will thus be in charge of the following:
- Data cleaning;
- Identifying incomplete households;
- Identifying redundant observations;
- Ensuring all components are correctly linked – datasets can be merged cleanly across the sections;
- Completing final numbers;
- Completing inventory of database;
- Completing electronic archiving of questionnaires;
- Final English questionnaires and survey manuals;
- Report relating to the overall organization and execution of the survey, as well as on the organization of the output files including preliminary report on findings.

The major duties of the firm will include:

• Recruitment, contracting, and payment of experienced enumerators and supervisors, the number of which should be approved by the MoLHUD team.
• Training of the selected enumerators and supervisors to the administration of the questionnaires.
• Development, translation, field testing and formatting of questionnaires. Demonstration of standardized application of the survey instrument in the local language must be approved by the MoLHUD team.
• Developing the screen design and interviewer-computer interface with the appropriate programme and data design. The design must be approved by the MoLHUD team before start of data collection. The firm will make android tables available for the purpose of data collection.
• Organization and provision of logistical support (sufficient tablets with correct specifications, transport, per-diem, etc.) to enumerators and supervisors while data are being collected.
• Preparation of interviewer training curriculum and materials, field manuals and implementation of personnel training.
• Putting in place appropriate approval procedures (data collection to synchronization to the server) in order to ensure the quality of the information being collected during the survey’s implementation.
• Delivery of final data in a STATA format.
• Delivery of a report relating to the overall organization and execution of the survey, as well as on the organization of the output files.

The consulting firm is responsible for the following specific outputs:

1) Acquisition of permissions, insurance, etc.

a) Obtaining all the necessary permissions, if required, for implementing the data collection, including obtaining Institutional Review Board (Protection of Human Subjects) permissions, and permissions for use of proprietary materials where applicable;
b) Adhering to local formalities and obtaining any required permits related to logistics of survey implementation (including any field sampling), as well as health and accident insurance, salary and taxes for all enumerators and supervisors.

Output: Evidence of insurances and permits (or proof that these are not necessary) for implementing survey and other data collection activities
2) Preparation of questionnaires:
a) Developing and translating a set of questionnaires into local languages. To guarantee standardized application of the questionnaires in local languages, a random sample of questions will be tested on all enumerators, verifying the homogenous application of questions correctly translated by 90% of enumerators on 90% of test questions;
b) Pilot testing a minimum of 50 questionnaires under real field conditions, and monitoring of time per question and module for estimation of average time per household questionnaire;
c) Collaborating with the Ministry to develop and pilot any supplemental questionnaire components; and
d) Provision for the funding and execution of the printing of a sufficient number of questionnaires for complete coverage of the sample and the pretest.
Output: Final questionnaire in local languages acceptable to the MoLHUD team

3) Recruitment of enumerator teams
a) Design a protocol for recruitment acceptable to the Ministry. At most 85% of the training participants will be recruited; and
b) Recruiting a sufficient number of qualified enumerators with Malawi School Certificate of Education as a minimum.

Output: Roster of recruited enumerators with their corresponding qualifications
4) Field Procedure Plan for the Listing and Property Owner Survey Data Collection Protocol
a) Developing a field procedure plan that identifies:
i. Composition of a standard field survey team
1. Number of enumerators;
2. Number of field-supervisors; and
3. Qualifications and training of all data collection staff.
ii. The major activities of the team in each enumeration area
1. Expected tasks and responsibilities of each member of the team; and
2. The expected time each team will spend in an enumeration area.
iii. Protocols for confirming:
1. That the location has been correctly identified.
iv. Data transmission protocols
1. Presenting the field plan to the principal investigators for comment, and revise as necessary prior to commencing field work;
2. Implementing the data collection adhering as closely to the plan as conditions allow; and
3. Inform the Ministry, preferably via the firm’s management and in the form of a written report or progress report, of any field or other conditions that dictate significant changes to the plans laid out in the approved field procedure plan.

Output: Field Procedure Plan for data collection acceptable to the MoLHUD team

5) Spot Check Plan

Conducting occasional spot-checks of the enumerators adherence to data collection protocols and confirming quality of data collection and entry.

Output: Spot-Check Plan acceptable to the MoLHUD team.

6) Develop the screen design and data collection interface, and conduct a successful survey field test prior to data collection

a. Providing indicators of success of the data collection field test including evidence that:
i. Interview teams correctly interview the respondents;
ii. Interview team members understand their roles;
iii. Interview team members understand, and correctly follow interviewing protocols; and
iv. Data from a minimum of 20 households (to be approved by the Ministry) are successfully collected using CAPI and transferred to the server without any problem.

Output: Design of the CAPI filed data collection programme; report documenting the process of the field test and data successfully transferred to the MoLHUD team.

7) Successful implementation of the property listing and property owner data collection in all of the sample locations.

a. Completing successful implementation of data collection
i. Dataset containing all of the data coded from the enumeration area;
ii. Supervisor’s log that documents:
1. Any notable difficulties or deviations from the standard field plan;
2. Record of each substitution of households that may have been required, including the reasons for substitution; and
3. Any other notable occurrences;
iii. Report on real-time validity checks upon receipt of each respondent’s data.

Output: Report of the listing and owner survey including the three deliverables mentioned-above

8) Bi-weekly reports of the number of property owners successfully completed
a. Providing regular bi-weekly reports to the Ministry.

Output: Timely delivery of Bi-weekly Reports to the MoLHUD team

9) Compile a database of all the completed data

a. Submitting a database of the entire baseline data in STATA to the Ministry

Output: Completed Database

10) Conduct spot-check, cleaning and archiving of data and survey report including preliminary findings

a. Identifying incomplete cases;
b. Identifying redundant observations;
c. Ensuring all components are correctly linked – datasets can be merged cleanly;
d. Completing final numbers;
e. Completing inventory of database;
f. Completing electronic archiving of questionnaires;
g. Final English questionnaires and survey manuals; and
h. Report relating to the overall organization and execution of the survey and data entry, as well as on the organization of the output files and preliminary findings.

Output: Final delivery of database and report (both household and community survey data)

Summary of deliverables:
Deliverable 1: Proof of permission and insurances (if necessary), approved field procedure and spot check plans, and updated training material
Deliverable 2: Questionnaires developed and translated into local languages, Completion of training field staff and detailed documented process of the exercises, field test report
Deliverable 3: Roster of final enumerators and data entry staff
Deliverable 4: CAPI field data collection application and final questionnaire in both English and local languages
Deliverable 5: Complete household listing data
Deliverable 6: Manager’s bi-weekly field reports
Deliverable 7: Data delivery of the first 300 households
Deliverable 8: Data delivery of first 1500 households
Deliverable 9: Completed database and data documentation including supervisor’s log and survey report on preliminary findings

The consultant firm will be reporting to the Team Leader of the Land Reform Implementation Unit (LRIU) under MoLHUD, who will ensure coordination with the MoLHUD and World Bank research team established for this activity, and in line with the following schedule.

Deliverable # Medium of presentation Issues to be covered Timing
1 - 4 Word report and PowerPoint presentation to Programme Management Committee (PMC) and other relevant stakeholders • Proof of permission and insurances (if necessary), approved field procedure and spot check plans, and updated training material
• Completion of training field staff and detailed documented process of the exercises, field test report
• Roster of final enumerators and data entry staff
• CAPI field data collection application and final questionnaire in both English and local languages
• Challenges and suggested solutions Mid April 2019
5 – 7 Word report, PowerPoint presentation to PMC and other relevant stakeholders, and 5 CD ROM • Complete household listing data
• Manager’s bi-weekly field reports
• Data delivery of the first 300 households
• Challenges and suggested solutions End April 2019
8 Word report, PowerPoint presentation to PMC and other relevant stakeholders, and 5 CD ROM • Data delivery of first 1500 households
• Challenges and suggested solutions Mid May 2019
9 Word report, PowerPoint presentation to PMC and other relevant stakeholders, and 5 CD ROM • Completed database and data documentation including
• Supervisor’s log
• Survey report on preliminary findings End June 2019

The selected firm/consortium (“Survey Firm”) shall possess the following:
• A legal status recognized by the Government of Malawi, enabling the organization to perform the above-mentioned tasks;
• Demonstrated experience of organizing surveys on the scale of this project in Malawi over the past ten years; experience with using CAPI.
• Strong capacity and experience in planning and organizing survey logistics;
• Good network of experienced enumerators and supervisors with CAPI experience;
• Strong capacity in data management and statistics; and
• Strong experience with CAPI. Survey Solution experience is an advantage.

Consequently, the firm shall compose a team of experts as follows:
• Team leader with MSc in Economics, (PhD in Economics provides an added advantage), Agricultural Economics, Rural Development or equivalent and more than 10 years field experience in baseline and impact evaluation surveys in Sub-Saharan Africa context;
• Survey manager with MSc or PhD in Economics, Agricultural Economics, Rural Development or equivalent and more than 7 years field experience in baseline and impact evaluation surveys in Sub-Saharan Africa context; Experience with CAPI
• Data expert with BSc or MSc in Statistics, Applied Mathematics or equivalent and more than 7 years field experience in baseline and impact evaluation surveys in Sub-Saharan Africa context; and
• Systems Analyst/Programmer with BSc or MSc in Information Systems, Computer Science or Software Development and more than 7 years field experience in survey design and/or development of computer solutions in Sub-Saharan Africa context. Experience with CAPI is required. Knowledge of survey solutions an advantage

The duration of the consultancy shall be for a period of two and a half calendar months.

The responsible officer for this consultancy in the MoLHUD shall be the Team Leader of the LRIU in liaison with the Head of Policy and Planning Unit (PPU) and the Commissioner of Lands.
The Evaluation Research Team will provide the list of the pilot group villages and enumeration areas with their geographic identifies (district, TA, group village headman, villages and enumeration area names) and draft survey design for listing and baseline survey.
The MoLHUD will:
• Provide the Monitoring and Evaluation Specialist from the LRIU and the Head of PPU including Economists to work with the consulting firm; and
• Facilitate in securing the required permission to conduct the baseline survey.

The proposed deliverables schedule is appended below.

Stage/Milestone Timing
Signature of contract April 2019
Deliverables 1-4 Mid April 2019
Deliverable 5-7 End April 2019
Deliverable 8 Mid May 2019
Deliverable 9 End June 2019

Annex table 1: List of pilot districts
Region District No. of households Type of Society Land tenure
North Karonga 2000 Patrilineal Customary & leasehold
Rumphi Boma 2000 Mixed Semi-urban & centre of district administration
Centre Nkhotakota 2000 Matrilineal Customary & leasehold
Mchinji 2000 Matrilineal Leasehold & freehold
South Chikwawa 2000 Mixed Customary & leasehold
Nsanje 2000 Patrilineal Customary